This workshop will be composed of a series of presentations and interactive sessions in which Krisolis will lead you through the development of solutions for particular types of problems. The main topics covered will be:
Introducing Analytics and AI: Fundamentals, examples and case studies.
We’ll look at the terminology and key techniques used and how they all fit together. Throughout this discussion we’ll refer to examples of how different companies have used analytics and AI. Attention will be given to explain how these techniques have been applied to areas of interest to the members of Engineers Ireland – e.g. RPA, Predictive Maintenance
Architecting Data Driven Solutions.
The goal of an organisation is to increase revenues, capture market share, increase customer satisfaction etc. Your data can’t do any of these things directly, but it can really help. The first step in any successful analytics project is converting an organisation goal into a concrete analytics solution. This session will focus on how to convert a selection of goals into a list of data driven solutions that could be pursued.
Data Projects Aren’t Like Other Projects.
CRISP-DM is a widely used and reliable process for running analytics projects. Important parts of this process include assessing the data and organisational requirements of any proposed analytics project. This session will explain the CRISP-DM process highlighting the key decisions that need to be made when implementing analytics solutions.
How to Get Started: Teams, tools & technologies.
Organisations that successfully use data driven solutions have the right team surrounded by the right tools and technologies. This presentation will describe the key issues involved in bringing together a world-class analytics team and look at the major technologies available and what to consider when it comes to selecting different options.